Abstract
This paper discusses statistical, data analytic and related software that is useful in the realm of astronomy and spaces sciences. The paper does not seek to be comprehensive, but rather to present a cross section of software used by practicing statisticians. The general layout is first to discuss commercially available software, then academic research software and finally some possible future directions in the evolution of data-oriented software. We specifically exclude commercial database software from the discussion, although it is relevant. The paper focuses on providing internet (world wide web) pointers for a variety of the software discussed.
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References
Babu, G. J. and Feigelson, E. D. (1996) “Spatial point processes in astronomy,” Journal of Statistical Planning and Inference. 50(3), 311–326.
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language, Wadsworth and Brooks/Cole. Pacific Grove, CA.
Carr, D. and Nicholson, W. (1988) ’ Explor4: A program for exploring four-dimensional data using stereo-ray glyphs, dimensional constraints, rotation and masking,“ In Dynamic Graphics for Statistics. (W. S. Cleveland and M. E. McGill, eds.) Wadsworth Inc., Belmont CA.. 309–329.
Chambers, J. M. and Hastie, T. K.. (eds.) (1992) Statistical Models in S, Wadsworth and Brooks/Cole, Pacific Grove, CA.
Cleveland, W. S. and McGill, M. E. (1988) Dynamic Graphics for Statistics, Wadsworth Inc., Belmont CA.
Feigelson, E. D. and Babu J. G. (eds.) (1993) Statistical Challenges in Modern Astronomy, Springer-Verlag. New York.
Francis, Ivor (1981) Statistical Software: A Comparative Review, North Holland: New York.
Fumas, G. W. and Buja, A. (1994) “Prosection views, dimensional inference through sections and projections” (with discussion). Journal of Computational and Graphical Statistics, 3, 323–385.
Hayes, Annie (1982) Statistical Software: A Survey and Critique of its Development, Office of Naval Research, Arlington. VA
Huber, Peter J. (1994) “Huge data sets.” COMPSTAT: Proc. in Computat-Statist., 11th Symp., 3–13, (Dutter, R.; Grossmann, W. eds.) PhysicaVerlag, Heidelberg.
Jaschek, C. and Murtagh, F. (eds.) (1990) Errors, Bias and Uncertainties in Astronomy, Cambridge University Press, Cambridge.
Majure, J. J., Cook, D.Cressie, N., Kaiser. M., Lahiri. S. and Symanzik, J. (1995) “Spatial CDF estimation and visualization with application to forest health monitoring,” Computing Science and Statistics, 27, (Rosenberger, J. and Meyer, M., editors).
Murtagh, F. and Heck, A. (eds.) (1988) Astronomy from Large Data-bases-Scientific Objectives and Methodological Approaches, ESO Conference and Workshop Proceedings. No. 28.
Rolfe, E. J. (ed.) (1983) Statistical Methods in Astronomy, European Space Agency Special Publication ESA SP-201.
Statistical Sciences (1993) Statistical Analysis in S-Plus. Version 3.1, Seattle: StatSci, a division of MathSoft, Inc.
Symanzik, J., Majure, J. J. and Cook. D. (1995) “Dynamic graphics in a GIS: A bi-directional link between ArcVlew 2.0 and XGobi, Computing Science and Statistics, 27, (Rosenberger, J. and Meyer. M., editors).
Tierney, Luke (1990) Lisp-Stat, John Wiley and Sons, New York.
Trumpler, R. J. and Weaver, H. F. (1953) Statistical Astronomy, University of California Press, republished in 1962 by Dover, New York
Venables, W. N. and Ripley, B. D. (1994) Modern Applied Statistics with S-PLUS, Springer-Verlag, New York.
Wegman, E. J. (1990) “Hyperdimensional data analysis using parallel coordinates,” J. American Statist. Assoc., 85, 664–675.
Wegman, E. J. (1991) “The grand tour in k-dimensions,” Computing Sci-ence and Statistics: Proceedings of the 22nd Symposium on the Interface, 127–136.
Wegman, E. J. (1995) “Huge data sets and the frontiers of computational feasibility,” Journal of Computational and Graphical Statistics, 4(4), 281–195.
Wegman, E. J. and Carr, D. B. (1993) “Statistical graphics and visualization,” in Handbook of Statistics 9: Computational Statistics, (Rao, C. R., ed.), 857–958, North Holland, Amsterdam.
Wegman, E. J. and Hayes, A. R. (1988) “Statistical software,” Encyclopedia of Statistical Sciences, 8, 667–674.
Wegman, E. J. and Luo, Qiang (1995) “Visualizing densities,” Technical Report 100, Center for Computational Statistics, George Mason University, Fairfax, VA
Wegman, E. J. and Luo, Qiang (1996) “High dimensional clustering using parallel coordinates and the grand tour,” Technical Report 124, Center for Computational Statistics, George Mason University, Fairfax, VA
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Wegman, E.J. et al. (1997). Statistical Software, Siftware and Astronomy. In: Babu, G.J., Feigelson, E.D. (eds) Statistical Challenges in Modern Astronomy II. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1968-2_11
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DOI: https://doi.org/10.1007/978-1-4612-1968-2_11
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